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Single‐cell high‐content imaging parameters predict functional phenotype of cultured human bone marrow stromal stem cells

Cultured human bone marrow stromal (mesenchymal) stem cells (hBM‐MSCs) are heterogenous cell populations exhibiting variable biological properties. Quantitative high‐content imaging technology allows identification of morphological markers at a single cell resolution that are determinant for cellula...

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Autores principales: Kowal, Justyna M., Schmal, Hagen, Halekoh, Ulrich, Hjelmborg, Jacob B., Kassem, Moustapha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988772/
https://www.ncbi.nlm.nih.gov/pubmed/31758755
http://dx.doi.org/10.1002/sctm.19-0171
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author Kowal, Justyna M.
Schmal, Hagen
Halekoh, Ulrich
Hjelmborg, Jacob B.
Kassem, Moustapha
author_facet Kowal, Justyna M.
Schmal, Hagen
Halekoh, Ulrich
Hjelmborg, Jacob B.
Kassem, Moustapha
author_sort Kowal, Justyna M.
collection PubMed
description Cultured human bone marrow stromal (mesenchymal) stem cells (hBM‐MSCs) are heterogenous cell populations exhibiting variable biological properties. Quantitative high‐content imaging technology allows identification of morphological markers at a single cell resolution that are determinant for cellular functions. We determined the morphological characteristics of cultured primary hBM‐MSCs and examined their predictive value for hBM‐MSC functionality. BM‐MSCs were isolated from 56 donors and characterized for their proliferative and differentiation potential. We correlated these data with cellular and nuclear morphological features determined by Operetta; a high‐content imaging system. Cell area, cell geometry, and nucleus geometry of cultured hBM‐MSCs exhibited significant correlation with expression of hBM‐MSC membrane markers: ALP, CD146, and CD271. Proliferation capacity correlated negatively with cell and nucleus area and positively with cytoskeleton texture features. In addition, in vitro differentiation to osteoblasts as well as in vivo heterotopic bone formation was associated with decreased ratio of nucleus width to length. Multivariable analysis applying a stability selection procedure identified nuclear geometry and texture as predictors for hBM‐MSCs differentiation potential to osteoblasts or adipocytes. Our data demonstrate that by employing a limited number of cell morphological characteristics, it is possible to predict the functional phenotype of cultured hBM‐MSCs and thus can be used as a screening test for “quality” of hBM‐MSCs prior their use in clinical protocols.
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spelling pubmed-69887722020-02-03 Single‐cell high‐content imaging parameters predict functional phenotype of cultured human bone marrow stromal stem cells Kowal, Justyna M. Schmal, Hagen Halekoh, Ulrich Hjelmborg, Jacob B. Kassem, Moustapha Stem Cells Transl Med Enabling Technologies for Cell‐based Clinical Translation Cultured human bone marrow stromal (mesenchymal) stem cells (hBM‐MSCs) are heterogenous cell populations exhibiting variable biological properties. Quantitative high‐content imaging technology allows identification of morphological markers at a single cell resolution that are determinant for cellular functions. We determined the morphological characteristics of cultured primary hBM‐MSCs and examined their predictive value for hBM‐MSC functionality. BM‐MSCs were isolated from 56 donors and characterized for their proliferative and differentiation potential. We correlated these data with cellular and nuclear morphological features determined by Operetta; a high‐content imaging system. Cell area, cell geometry, and nucleus geometry of cultured hBM‐MSCs exhibited significant correlation with expression of hBM‐MSC membrane markers: ALP, CD146, and CD271. Proliferation capacity correlated negatively with cell and nucleus area and positively with cytoskeleton texture features. In addition, in vitro differentiation to osteoblasts as well as in vivo heterotopic bone formation was associated with decreased ratio of nucleus width to length. Multivariable analysis applying a stability selection procedure identified nuclear geometry and texture as predictors for hBM‐MSCs differentiation potential to osteoblasts or adipocytes. Our data demonstrate that by employing a limited number of cell morphological characteristics, it is possible to predict the functional phenotype of cultured hBM‐MSCs and thus can be used as a screening test for “quality” of hBM‐MSCs prior their use in clinical protocols. John Wiley & Sons, Inc. 2019-11-23 /pmc/articles/PMC6988772/ /pubmed/31758755 http://dx.doi.org/10.1002/sctm.19-0171 Text en © 2019 The Authors. stem cells translational medicine published by Wiley Periodicals, Inc. on behalf of AlphaMed Press This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Enabling Technologies for Cell‐based Clinical Translation
Kowal, Justyna M.
Schmal, Hagen
Halekoh, Ulrich
Hjelmborg, Jacob B.
Kassem, Moustapha
Single‐cell high‐content imaging parameters predict functional phenotype of cultured human bone marrow stromal stem cells
title Single‐cell high‐content imaging parameters predict functional phenotype of cultured human bone marrow stromal stem cells
title_full Single‐cell high‐content imaging parameters predict functional phenotype of cultured human bone marrow stromal stem cells
title_fullStr Single‐cell high‐content imaging parameters predict functional phenotype of cultured human bone marrow stromal stem cells
title_full_unstemmed Single‐cell high‐content imaging parameters predict functional phenotype of cultured human bone marrow stromal stem cells
title_short Single‐cell high‐content imaging parameters predict functional phenotype of cultured human bone marrow stromal stem cells
title_sort single‐cell high‐content imaging parameters predict functional phenotype of cultured human bone marrow stromal stem cells
topic Enabling Technologies for Cell‐based Clinical Translation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988772/
https://www.ncbi.nlm.nih.gov/pubmed/31758755
http://dx.doi.org/10.1002/sctm.19-0171
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